Abstract
The multi–scale Frangi vesselness filter is an established tool in (retinal) vascular imaging. However, it cannot properly cope with crossings or bifurcations since it only looks for elongated structures. Therefore, we disentangle crossings/bifurcations via (multiple scale) invertible orientation scores and apply vesselness filters in this domain. This new method via scale–orientation scores performs considerably better at enhancing vessels throughout crossings and bifurcations than the Frangi version. Both methods are evaluated on a public dataset. Performance is measured by comparing ground truth data to the segmentation results obtained by basic thresholding and morphological component analysis of the filtered images.
Chapter PDF
Similar content being viewed by others
Keywords
References
Ikram, M.K., Ong, Y.T., Cheung, C.Y., Wong, T.Y.: Retinal Vascular Caliber Measurements: Clinical Significance, Current Knowledge and Future Perspectives. Ophthalmologica 229(3), 125–136 (2013)
Frangi, A.F., Niessen, W.J., Vincken, K.L., Viergever, M.A.: Multiscale vessel enhancement filtering. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 130–137. Springer, Heidelberg (1998)
Budai, A., Bock, R., Maier, A., Hornegger, J., Michelson, G.: Robust Vessel Segmentation in Fundus Images. IJBI 2013 (2013)
Lupascu, C.A., Tegolo, D., Trucco, E.: FABC: Retinal Vessel Segmentation Using AdaBoost. IEEE T-ITB 14(5), 1267–1274 (2010)
Duits, R., Felsberg, M., Granlund, G., ter Haar Romeny, B.: Image Analysis and Reconstruction using a Wavelet Transform Constructed from a Reducible Representation of the Euclidean Motion Group. IJCV 72(1), 79–102 (2007)
Duits, R., Janssen, B., Bruurmijn, M., Florack, L., Van Assen, H.: Evolution Equations on Gabor Transforms and their Applications. In: ACHA (to appear, 2014)
Barbieri, D., Citti, G., Cocci, G., Sarti, A.: A cortical–inspired geometry for contour perception and motion integration. arXiv preprint arXiv:1301.3433 (2013)
Jacques, L., Antoine, J.P.: Multiselective pyramidal decomposition of images: wavelets with adaptive angular selectivity. International Journal of Wavelets, Multiresolution and Information Processing 5(05), 785–814 (2007)
Bekkers, E., Duits, R., Berendschot, T., ter Haar Romeny, B.: A Multi–Orientation Analysis Approach to Retinal Vessel Tracking. JMIV, 1–28 (2014)
Krause, M., Alles, R.M., Burgeth, B., Weickert, J.: Fast retinal vessel analysis. JRTIP, 1–10 (2013)
Fuehr, H.: Abstract Harmonic Analysis of Continuous Wavelet Transforms. Springer (2005)
Sharma, U., Duits, R.: Left-invariant evolutions of wavelet transforms on the Similitude Group. arXiv preprint arXiv:1306.1800 (2013)
Franken, E.: Enhancement of Crossing Elongated Structures in Images. PhD thesis, Technical University Eindhoven (2008)
Duits, R., Boscain, U., Rossi, F., Sachkov, Y.: Association Fields via Cuspless Sub–Riemannian Geodesics in SE (2). JMIV 1, 32 (2013)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Hannink, J., Duits, R., Bekkers, E. (2014). Crossing-Preserving Multi-scale Vesselness. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. MICCAI 2014. Lecture Notes in Computer Science, vol 8674. Springer, Cham. https://doi.org/10.1007/978-3-319-10470-6_75
Download citation
DOI: https://doi.org/10.1007/978-3-319-10470-6_75
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10469-0
Online ISBN: 978-3-319-10470-6
eBook Packages: Computer ScienceComputer Science (R0)